In emergency medical procedures, positive and trusting interaction between followers and leaders are imperative. That relationship is even more important when a virtual agent assumes the leader role and a human assumes the follower role. In order to manage the human-computer interaction, situational leadership is employed to match the human to an appropriate leadership style embodied by the agent. This paper explores how different leadership styles can be conveyed by a virtual agent through an analysis of utterances made by doctors and coordinators during emergency simulations. We create a corpus which comprises utterances from simulation videos of medical emergencies. Each utterance is annotated with a leadership style. After analysing the agreement among annotators and performing k-means clustering and latent Dirichlet allocation, we compile easily-reproducible rules that dictate how speech should appear in each leadership style for use in a virtual agent system.
Designing speech with computational linguistics for a virtual medical assistant using situational leadership
2022-01-01
Sonstige
Elektronische Ressource
Englisch
DDC: | 629 |
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